Deep learning for power system applications : case studies linking artificial intelligence and power systems / Fangxing Li and Yan Du

By:

FANGXING Li [author]

Contributor(s):

YAN Du [author]

Material type: Text

TextSeries: Power electronics and power systemsPublication details: Switzerland, Cham: Springer, 2024Description: xii, 101 pages : illustrations (chiefly color) ; 24 cmISBN:

9783031453564 (hbk.)

Subject(s):

DDC classification:

621.31 FAN

Summary: This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Provides a history of AI in power grid operation and planning; Introduces deep learning algorithms and applications in power systems; Includes several representative case studies.

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Holdings
Item type	Current library	Call number	Copy number	Status	Notes	Date due	Barcode
Book	Mindef Library & Info Centre On-Shelf	621.31 FAN (Browse shelf(Opens below))	1	Available	Red Spot Book		80251-1001

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Previous	621 TIM Newnes mechanical engineer's pocket book /	621.3 UNI Basic electricity	621.3 WAR Newnes electrical engineer's handbook	621.31 FAN Deep learning for power system applications : case studies linking artificial intelligence and power systems /	621.31 MCM Cyber-physical security and privacy in the elctric smart grid /	621.32 HON Emergency and security lighting/	621.32 INS Electrician's guide to emergency lighting /	Next

Includes bibliographical references and index

This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Provides a history of AI in power grid operation and planning; Introduces deep learning algorithms and applications in power systems; Includes several representative case studies.

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